Deepva face dataset creation

Face Dataset Creation

Function description

Create your own face database

The images of individuals who cannot be recognised by pre-trained AI models due to their low profile or regional relevance, can be fed into the system fully automatically with Face Dataset Creation. Building your own AI models is often complex and time-consuming. 

With this feature, dataset creation, as well as the creation and management of persons, is simple and can be done without specialist knowledge.

DeepVA Face Dataset Creation

benefits

Transforming data into value

Provides end-to-end workflow with less human in the loop

Fully automated training data generation

Automatic generation of face recognition training data

use cases

Face Dataset Creation use cases

how it works

How does Face Dataset Creation work?

The training data required for facial recognition can be automatically extracted from the video if the person’s name and face are shown at the same time. This data is combined and stored in a separate dataset and made available as a custom AI model.

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